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Zhang Q, Liu Q, Opriessnig T, Wen D, Gu K, Jiang Y. Multiplex gel-based PCR assay for the simultaneous detection of 5 genotypes of porcine astroviruses. J Vet Diagn Invest 2023; 35:132-138. [PMID: 36573660 PMCID: PMC9999398 DOI: 10.1177/10406387221145329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Porcine astrovirus (PAstV) has been associated experimentally with diarrhea in piglets, but much more knowledge is needed about this virus. PAstV has high genetic variability, and 5 genotypes have been identified, namely PAstV1-5. To obtain information on the epidemiology of PAstV, we established a multiplex PAstV PCR assay to detect and differentiate the 5 PAstV genotypes simultaneously. The assay utilized specific primers for each genotype, producing fragments of 307, 353, 205, 253, and 467 bp, representing PAstV1-5, respectively. Our multiplex PCR assay amplified all 5 DNA fragments from single or mixed viral genomes without cross-reactions with other PAstV genotypes or other viruses in pigs. The limit of detection of the multiplex PCR assay was 5 × 102 copies/μL for PAstV1 and PAstV4, and 5 × 103 copies/μL for PAstV2, PAstV3, and PAstV5. We examined 76 pig fecal specimens with our multiplex PCR assay. PAstV was detected in 36 of 76 (47.4%) samples; ≥2 PAstVs were found in 20 of 76 (26.3%) samples. The multiplex PCR assay results were essentially the same as the results using a monoplex PAstV PCR assay, with a coincidence rate of >96%. Our multiplex PCR method provides a simple, sensitive, and specific detection tool for PAstV detection and epidemiologic surveys.
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Affiliation(s)
- Qiuya Zhang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Qin Liu
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Tanja Opriessnig
- The Roslin Institute and The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, UK
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Dan Wen
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Keda Gu
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Yonghou Jiang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
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Wang Y, Li R, Zhang Y, Zhang W, Hu S, Li Z. Visual and label-free ASFV and PCV2 detection by CRISPR-Cas12a combined with G-quadruplex. Front Vet Sci 2022; 9:1036744. [PMID: 36524221 PMCID: PMC9745048 DOI: 10.3389/fvets.2022.1036744] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 11/07/2022] [Indexed: 09/29/2023] Open
Abstract
African swine fever (ASF) and postweaning multisystemic wasting syndrome (PMWS) are acute infectious diseases caused by the African swine fever virus (ASFV) and porcine circovirus type 2 (PCV2). At present, there are no effective vaccines for the prevention of ASFV. PMWS, which is harmful to the domestic and even the world pig industry, is difficult to cure and has a high mortality. So, developing simple, inexpensive, and accurate analytical methods to detect and effectively diagnose ASFV and PCV2 can be conducive to avoid ASFV and PCV2 infection. CRISPR has become a potentially rapid diagnostic tool due to recent discoveries of the trans-cleavage properties of CRISPR type V effectors. Herein, we report the visual detection based on CRISPR-Cas12a (cpf1), which is more convenient than fluorescence detection. Through in vitro cleavage target DNA activation, Cas12a can trans-cleavage ssDNA G-quadruplex. TMB/H2O2 and Hemin cannot be catalyzed by cleavaged G-DNA to produce green color products. This protocol is useful for the detection of ASFV and PCV2 with high sensitivity. This method can enable the development of visual and label-free ASFV and PCV2 detection and can be carried out in the field without relying on instruments or power. This method can complete nucleic acid detection at 37 °C without using other instruments or energy. Our research has expanded the application of Cas12a and laid the foundation for the field's rapid detection of viral nucleic acid in future.
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Affiliation(s)
- Ying Wang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Rong Li
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Yang Zhang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Weida Zhang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Sishun Hu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Wuhan, China
- Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of the People's Republic of China, Wuhan, China
| | - Zili Li
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Wuhan, China
- Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of the People's Republic of China, Wuhan, China
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Olech M. Current State of Molecular and Serological Methods for Detection of Porcine Epidemic Diarrhea Virus. Pathogens 2022; 11:pathogens11101074. [PMID: 36297131 PMCID: PMC9612268 DOI: 10.3390/pathogens11101074] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 09/19/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
Porcine epidemic diarrhea virus (PEDV), a member of the Coronaviridae family, is the etiological agent of an acute and devastating enteric disease that causes moderate-to-high mortality in suckling piglets. The accurate and early detection of PEDV infection is essential for the prevention and control of the spread of the disease. Many molecular assays have been developed for the detection of PEDV, including reverse-transcription polymerase chain reaction (RT-PCR), real-time RT-PCR (qRT-PCR) and loop-mediated isothermal amplification assays. Additionally, several serological methods have been developed and are widely used for the detection of antibodies against PEDV. Some of them, such as the immunochromatography assay, can generate results very quickly and in field conditions. Molecular assays detect viral RNA in clinical samples rapidly, and with high sensitivity and specificity. Serological assays can determine prior immune exposure to PEDV, can be used to monitor the efficacy of vaccination strategies and may help to predict the duration of immunity in piglets. However, they are less sensitive than nucleic acid-based detection methods. Sanger and next-generation sequencing (NGS) allow the analysis of PEDV cDNA or RNA sequences, and thus, provide highly specific results. Furthermore, NGS based on nonspecific DNA cleavage in clustered regularly interspaced short palindromic repeats (CRISPR)–Cas systems promise major advances in the diagnosis of PEDV infection. The objective of this paper was to summarize the current serological and molecular PEDV assays, highlight their diagnostic performance and emphasize the advantages and drawbacks of the application of individual tests.
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Affiliation(s)
- Monika Olech
- Department of Pathology, National Veterinary Research Institute, 24-100 Puławy, Poland
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4
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Oz ME, Torlak E. A high-resolution melting assay to differentiate a peste des petits ruminants virus vaccine strain from field isolates in Turkey. Arch Virol 2022; 167:941-946. [PMID: 35147805 DOI: 10.1007/s00705-022-05386-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 01/03/2022] [Indexed: 11/25/2022]
Abstract
Peste des petits ruminants (PPR) mostly affects small ruminants. Vaccination with attenuated vaccines derived from PPR virus (PPRV) provides successful protection against the disease. However, current molecular methods are unable to distinguish vaccine strains from field strains. In this study, we used an EvaGreen-based high-resolution melting (HRM) assay to differentiate a PPRV vaccine strain (Nigeria 75/1) from Turkish field isolates of lineage IV based on melting peaks and melting profiles.
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Affiliation(s)
- Mustafa Emin Oz
- Molecular Microbiology Laboratory, Veterinary Control Institute, 42090, Konya, Turkey.
| | - Emrah Torlak
- Department of Molecular Biology and Genetics, Faculty of Science, Necmettin Erbakan University, 42090, Konya, Turkey
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Nan P, Wen D, Opriessnig T, Zhang Q, Yu X, Jiang Y. Novel universal primer-pentaplex PCR assay based on chimeric primers for simultaneous detection of five common pig viruses associated with diarrhea. Mol Cell Probes 2021; 58:101747. [PMID: 34116142 DOI: 10.1016/j.mcp.2021.101747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/02/2021] [Accepted: 06/04/2021] [Indexed: 11/18/2022]
Abstract
Viral pathogens associated with diarrhea in pigs include porcine circovirus 2 (PCV2), porcine epidemic diarrhea virus (PEDV), transmissible gastroenteritis virus (TGEV), porcine rotavirus A (RVA) and C (RVC) among others. In this study, a novel universal primer-based pentaplex PCR (UP-M-PCR) assay was developed for simultaneous detection and differentiation of these five viruses. The assay uses a short-cycle multiplex amplification by chimeric primers (CP), which are virus specific, with a tail added at the 5' end of the universal primer (UP), followed by universal amplification using UPs and a regular cycle amplification. Five universal primers with CPs (UP1-5) were designed and evaluated in an UP-based single PCR (UP-S-PCR). All five UPs were found to work efficiently and UP2 exhibited the best performance. After system optimizations, the analytical sensitivity of the UP-M-PCR, using plasmids containing the specific viral target fragments, was 5 copies/reaction for each of the five viruses irrespective of presence of a single or multiple viruses in the reaction. No cross-reaction was observed with other non-target viruses. When 273 fecal samples from clinically healthy pigs were tested, the assay sensitivity was 90.9-100%, the specificity was 98.0-100%, and the agreement rate with the UP-S-PCR was 98.5-99.6% with a Kappa value being 0.95-0.98. In summary, the UP-M-PCR developed here is a rapid and highly sensitive and specific detection method that can be used to demonstrate mixed infections in pigs with diarrhea.
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Affiliation(s)
- Pei Nan
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Dan Wen
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Tanja Opriessnig
- The Roslin Institute and The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, UK; Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Qiuya Zhang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Xiaoya Yu
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Yonghou Jiang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
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Rodríguez-Hernández P, Cardador MJ, Arce L, Rodríguez-Estévez V. Analytical Tools for Disease Diagnosis in Animals via Fecal Volatilome. Crit Rev Anal Chem 2020; 52:917-932. [PMID: 33180561 DOI: 10.1080/10408347.2020.1843130] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Volatilome analysis is growing in attention for the diagnosis of diseases in animals and humans. In particular, volatilome analysis in fecal samples is starting to be proposed as a fast, easy and noninvasive method for disease diagnosis. Volatilome comprises volatile organic compounds (VOCs), which are produced during both physiological and patho-physiological processes. Thus, VOCs from a pathological condition often differ from those of a healthy state and therefore the VOCs profile can be used in the detection of some diseases. Due to their strengths and advantages, feces are currently being used to obtain information related to health status in animals. However, they are complex samples, that can present problems for some analytical techniques and require special consideration in their use and preparation before analysis. This situation demands an effort to clarify which analytic options are currently being used in the research context to analyze the possibilities these offer, with the final objectives of contributing to develop a standardized methodology and to exploit feces potential as a diagnostic matrix. The current work reviews the studies focused on the diagnosis of animal diseases through fecal volatilome in order to evaluate the analytical methods used and their advantages and limitations. The alternatives found in the literature for sampling, storage, sample pretreatment, measurement and data treatment have been summarized, considering all the steps involved in the analytical process.
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Affiliation(s)
| | - M J Cardador
- Department of Analytical Chemistry, Institute of Fine Chemistry and Nanochemistry, University of Córdoba, Córdoba, Spain
| | - L Arce
- Department of Analytical Chemistry, Institute of Fine Chemistry and Nanochemistry, University of Córdoba, Córdoba, Spain
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Rapid and efficient detection methods of pathogenic swine enteric coronaviruses. Appl Microbiol Biotechnol 2020; 104:6091-6100. [PMID: 32430534 PMCID: PMC7235545 DOI: 10.1007/s00253-020-10645-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 04/18/2020] [Accepted: 04/26/2020] [Indexed: 02/06/2023]
Abstract
Abstract Porcine enteric coronaviruses (CoVs) cause highly contagious enteric diarrhea in suckling piglets. These COV infections are characterized by clinical signs of vomiting, watery diarrhea, dehydration, and high morbidity and mortality, resulting in significant economic losses and tremendous threats to the pig farming industry worldwide. Because the clinical manifestations of pigs infected by different CoVs are similar, it is difficult to differentiate between the specific pathogens. Effective high-throughput detection methods are powerful tools used in the prevention and control of diseases. The immune system of piglets is not well developed, so serological methods to detect antibodies against these viruses are not suitable for rapid and early detection. This paper reviews various PCR-based methods used for the rapid and efficient detection of these pathogenic CoVs in swine intestines. Key points Swine enteric coronaviruses (CoVs) emerged and reemerged in past years. Enteric CoVs infect pigs at all ages with high mortality rate in suckling pigs. Rapid and efficient detection methods are needed and critical for diagnosis.
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